feishu-bitable

Automate creation, querying, editing, and management of Feishu Bitable apps and data.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/DaTingLi/heimaclaw --skill feishu-bitable-datingli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feishu-bitable
Source: https://github.com/DaTingLi/heimaclaw/tree/main/reference/openclaw-lark-main/skills/feishu-bitable
Command: npx skills add https://github.com/DaTingLi/heimaclaw --skill feishu-bitable-datingli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Feishu Bitable 提供强大的数据表管理能力,但在跨表创建、字段配制、批量导入和视图管理方面常常需要重复工作。本 Skill 旨在帮助你快速创建 Feishu Bitable App、配置数据表、执行批量写入和变更,并统一管理字段、视图和数据表结构。

Core Features & Use Cases

  • 支持创建、查询、编辑和管理 Feishu Bitable 应用、表、字段、视图等要素,包含 27 种字段类型的完整支持。
  • 提供批量导入/更新、筛选查询和多视图管理等场景,帮助实现端到端的数据管理工作流。
  • 适用于需要快速搭建数据表结构、批量处理记录、以及在团队中协同管理数据表的场景。

Quick Start

Create a Feishu Bitable app, set up a table with fields, and batch-import records.

Frequently Asked Questions about feishu-bitable

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Feishu Bitable data management workflows?

Automating Feishu Bitable data management involves end-to-end workflows from app and table creation to batch imports, field/view management, and advanced filtering. It enforces proper field value formats and includes validation to prevent common configuration errors.

Can I batch import records into a Feishu Bitable app?

Yes, you can batch import and update records into a Feishu Bitable app. The process supports batch writing and changes, allowing you to quickly populate tables and modify existing data across multiple tables efficiently.

What is the best way to configure fields in a Feishu Bitable table?

Configuring fields in a Feishu Bitable table requires supporting 27 distinct field types. The process enforces proper field value formats and includes validation during field configuration to prevent common data structure errors.

Does this approach support advanced filtering across multiple tables in Feishu?

Yes, advanced filtering across multiple tables is supported for Feishu Bitable. You can execute filtering queries and manage multiple views within your data tables to scope end-to-end data querying and management workflows.

What are the limitations when managing Feishu Bitable views and fields?

Limitations when managing Feishu Bitable views and fields primarily involve strict field value formats. The system includes validation to prevent common configuration errors, but you must ensure data strictly matches the 27 supported field types.

Do I need to create a Feishu Bitable app before setting up tables?

Yes, you need to create a Feishu Bitable app before setting up tables. The workflow scopes from initial app and table creation to subsequent field configuration, view management, and batch record imports.